Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm

Detailed Info Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm Authors:Mert Seker, Ansi Mannisto, Alexandros Iosifidis and Jenni RaitoharjuTitle:Automatic Social Distance Estimation From Images: Performance Evaluation,…

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Single-Layer Transformers for More Accurate Early Exits with Less Overhead

Detailed info Single-Layer Transformers for More Accurate Early Exits with Less Overhead AuthorsArian Bakhtiarnia, Qi Zhang and Alexandros IosifidisTitleSingle-Layer Transformers for More Accurate Early Exits with Less OverheadAbstractDeploying deep learning…

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Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks

Detailed Info Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks Authors:Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini.Title:Sub-mW Keyword Spotting…

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Design Recommendations for a Collaborative Game of Bird Call Recognition Based on Internet of Sound Practices

Detailed info Design Recommendations for a Collaborative Game of Bird Call Recognition Based on Internet of Sound Practices Authors:Rovithis, Emmanouel; Moustakas, Nikolaos; Vogklis, Konstantinos; Drossos, Konstantinos; Floros, AndreasTitle:Design Recommendations for…

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Feedforward neural networks initialization based on discriminant learning

Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtain representations using various sources of information, such as the audio, interactions between users and songs, or associated genre metadata.

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Enriched Music Representations With Multiple Cross-Modal Contrastive Learning

Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtain representations using various sources of information, such as the audio, interactions between users and songs, or associated genre metadata.

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